Chris Kalle

Thanks @BernhardGlueck and apologies for the delay. The GRU model is still being refined and further developed, so hold off using it for now. When ready, it'll have the same...

If you are looking to implement a Recommender model see CofiRecommenderGenerator under the numl.Recommendation namespace. There isn't any docs for it yet, but check out this unit test for details...

Just saw this, a use case would be learning sequences. Such as in one to many or many to many recurrent neural nets.

I'm nearly finished with SVM, scoring, multi-class learning (it handles unlimited classes, with support for using any generator and is parallelised by n classes), recommendation (collaborative filtering) and started with...

Reopening issue.

This is partially implemented, see ISequenceModel and Neural Networks. We need to discuss for other algorithms...

Issue reopened. Proposed solution is to use a weighted feature hashing / extraction algorithm for string types to resolve this issue.

Thanks @normanhh3, we plan to add a default value on the Property object to cover this scenario. Without going into detail, yes, it would indicate poor performance, but the current...

If we implement stratification in the labels at training time we can - that will resolve the issue for the most part. Once feature hashing is added in that will...

Hey, at the moment numl isn't really suited for image processing. You would ideally use a convolutional neural network for recognising specific parts in patient label images. However, if you...